CODES, Computational and Data Enabled Science

The <CODES>@Emory research group conducts cutting-edge computational and applied mathematics research using mathematically rigorous model- and data-driven approaches. Our research focuses on areas such as the mathematics of deep learning, data assimilation, and uncertainty quantification, with a particular focus on applications in impactful areas of medicine (cardiac modeling, medical imaging), the weather and environment (hurricane storm surge modeling), and disease outbreak modeling. Common threads in these areas are their mathematical foundations, most importantly differential equations, optimization, linear algebra, and advanced techniques from computational science, such as parallel and distributed computing.